September 9
September 10
September 11
September 12
September 13
  Workshop Day 1 Conference Day 2 Conference Day 3 Conference Day 4 Workshop Day 5
09:00-10:30 Full- and Half-day Workshops Tutorial 1, Tutorial 2 Tutorial 3, Tutorial 4 Industry Session I Full- and Half-day Workshops / Doctoral Symposium
10:30-11:00 Coffee break Coffee break Coffee break Coffee break Coffee break
11:00-12:30 Full- and Half-day Workshops Opening, Research Keynote Session: Implicit Feedback and User Preference Industry Session II & Keynote
(ends 12:45)
Full- and Half-day Workshops / Doctoral Symposium
12:30-14:30 Lunch Lunch Lunch Lunch Lunch
14:30-16:00 Full- and Half-day Workshops Session: Multi-Objective Recommendation and Human Factors Session: Contextual and Semantically Aware Recommendation Session: Top-N Recommendation Full- and Half-day Workshops / Doctoral Symposium
16:00-16:30 Coffee break Coffee break Coffee break Coffee break Coffee break
16:30-17:30 Full- and Half-day Workshops Session: Social Recommendation Poster and Demo Slam Session: Emerging Themes Full- and Half-day Workshops / Doctoral Symposium
17:30-18:00 Posters and Demos
18:00-18:30 Closing
18:30-19:30 Welcome Reception
19:30-21:30 Banquet/Awards

  Paper sessions (4 presentations each)
  Special sessions (poster slam, industry sessions, keynotes)
  Workshops, doctoral symposium, tutorials
  Poster and Demo Presentations
  Social events



Paper session: Multi-Objective Recommendation and Human Factors

Monday, September 10, 14:30 - 16:00

  • Mario Rodriguez, Christian Posse and Ethan Zhang. Multiple Objective Optimization in Recommendation Systems
  • Marco Tulio Ribeiro, Anisio Lacerda, Adriano Veloso and Nivio Ziviani. Pareto-Efficient Hybridization for Multi-Objective Recommender Systems
  • Paolo Cremonesi, Franca Garzotto and Roberto Turrin. User Effort vs. Accuracy in Rating-based Elicitation
  • Svetlin Bostandjiev, John O'Donovan and Tobias Hollerer. TasteWeights: A Visual Interactive Hybrid Recommender System


Paper session: Social Recommendation

Monday, September 10, 16:30 - 18:00

  • Bart Knijnenburg, Svetlin Bostandjiev, John O'Donovan and Alfred Kobsa. Inspectability and Control in Social Recommenders
  • Xiaolan Sha, Daniele Quercia, Matteo Dell'Amico and Pietro Michiardi. Spotting Trends: The wisdom of the few
  • Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme and Wolfgang Nejdl. Real-Time Top-N Recommendation on Social Streams
  • Xiwang Yang, Harald Steck, Yang Guo and Yong Liu. On Top-k Recommendation using Social Networks


Paper session: Implicit Feedback and User Preference

Tuesday, September 11, 11:00 - 12:30

  • Omar Moling, Linas Baltrunas and Francesco Ricci. Optimal Radio Channel Recommendations with Implicit Feedback
  • Gabor Takacs and Domonkos Tikk. Alternating Least Squares for Personalized Ranking
  • Diyi Yang, Tianqi Chen, Qiuxia Lu and Weinan Zhang. Local Implicit Feedback Mining for Music Recommendation
  • Daniel Kluver, Tien T. Nguyen, Michael Ekstrand, Shilad Sen and John Riedl. How Many Bits per Rating?


Paper session: Contextual and Semantically Aware Recommendation

Tuesday, September 11, 14:30 - 16:00

  • Sven Strickroth; Niels Pinkwart. High quality recommendations for small communities: the case of a regional parent network
  • Asher Levi, Osnat Mokryn, Christophe Diot and Nina Taft. Finding a needle in a haystack of reviews: cold start context based hotel recommender system
  • Sindhu Raghavan, Suriya Gunasekar and Joydeep Ghosh. Review Quality Aware Collaborative Filtering
  • Negar Hariri, Bamshad Mobasher and Robin Burke. Context-Aware Music Recommendation Based on Latent Topic Sequential Patterns


Paper session: Top-N Recommendation

Wednesday, September 12, 14:30 - 16:00

  • Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Nuria Oliver and Alan Hanjalic. CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering
  • Bruno Pradel, Nicolas Usunier and Patrick Gallinari. Ranking with Non-Random Missing Ratings: Influence of Popularity and Positivity on Evaluation Metrics
  • Xia Ning and George KarypisSparse Linear Methods with Side Information for Top-N Recommendations
  • Sebastian Schelter, Christoph Boden and Volker Markl. Scalable Similarity-Based Neighborhood Methods with MapReduce


Paper session: Emerging Themes

Wednesday, September 12, 16:30 - 18:00

  • Bruno Antunes, Joel Cordeiro and Paulo Gomes. An Approach to Context-Based Recommendation in Software Development
  • Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang and Yong Yu. A Semantic Approach to Recommending Text Advertisements for Images
  • Diego Saez-Trumper, Daniele Quercia and Jon Crowcroft. Ads and the City: Considering Geographic Distance Goes a Long Way
  • Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis and Nina Taft. BlurMe: Inferring and Obfuscating User Demographics Based on Ratings


Industry session I

Wednesday, September 12, 09:00-10:30

Invited talks:


Industry session II & Keynote

Wednesday, September 12, 11:00-12:45

Invited talks:




Sunday 9th September

Thursday 13th September

* The Local Experience and PeMa half-day workshops have been merged into a single full-day workshop (Personalizing the Local Mobile Experience) to be held on Thursday 13th September.

We are leaving the age of information and entering the age of recommendation.

Chris Anderson in The Long Tail